Abstract
Introduction: Cardiac electrophysiology (EP) studies the electrical heart conduction system which is used for diagnosis and treatment of cardiac arrhythmias. In this context, a huge amount of data is generated, requiring efficient and effective access, interpretation, and data analysis from multiple sources in a unified view. To resolve this challenge, this essay presents an ontology to reconcile data heterogeneity problems in this domain.Material and Methods: The cardiac EP ontology was constructed according to the life cycle of ontology building. Structural, functional, and expert evaluation was performed to ensure its quality and usability. Results: Cardiac EP ontology was developed using protégé environment and implemented in OWL editing tool. It presented a detailed hierarchical structure of the cardiac EP domain with around 324 instances describing cardiac EP-related concepts.Conclusion: Cardiac EP ontology provides an explicit formal description of the concepts, relationships, and properties associated with cardiac electrophysiology making seamless data integration between multiple heterogeneous databases. It also is a useful framework for knowledge representation in knowledge-based systems, as well as for explicit communication between experts in the EP domain.
Highlights
Cardiac electrophysiology (EP) studies the electrical heart conduction system which is used for diagnosis and treatment of cardiac arrhythmias
Cardiac EP ontology provides an explicit formal description of the concepts, relationships, and properties associated with cardiac electrophysiology making seamless data integration between multiple heterogeneous databases
Of the absence of a unified conceptual framework for heart interventions has led to data redundancy and rework [22, 23]. With such issues in mind, the objective of this study is to develop an ontology called cardiac EP ontology in order to address the semantic integration and interoperability between independent health information systems (HISs) used in EP, and between them and cardiovascular implantable electronic devices (CIEDs) applicable in heart electrophysiology
Summary
Cardiac electrophysiology (EP) studies the electrical heart conduction system which is used for diagnosis and treatment of cardiac arrhythmias In this context, a huge amount of data is generated, requiring efficient and effective access, interpretation, and data analysis from multiple sources in a unified view. With the advent of novel technologies such as Internet of Things (IOT), cloud computing, semantic web, wearable and portable medical devices, and increasing adoption of health information technologies, a huge amount of health data are generated [2,3,4,5,6] In this big data era, there is an emerging need to facilitate interoperability and reusability among a variety of data sources. Ontologies are the conceptual models that give context and meaning to the data [11,12,13,14]
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